WO2013132090A1 - A method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject - Google Patents
A method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject Download PDFInfo
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- WO2013132090A1 WO2013132090A1 PCT/EP2013/054801 EP2013054801W WO2013132090A1 WO 2013132090 A1 WO2013132090 A1 WO 2013132090A1 EP 2013054801 W EP2013054801 W EP 2013054801W WO 2013132090 A1 WO2013132090 A1 WO 2013132090A1
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- neurotensin
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- metabolic syndrome
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
- G01N33/6893—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids related to diseases not provided for elsewhere
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P3/00—Drugs for disorders of the metabolism
- A61P3/08—Drugs for disorders of the metabolism for glucose homeostasis
- A61P3/10—Drugs for disorders of the metabolism for glucose homeostasis for hyperglycaemia, e.g. antidiabetics
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P43/00—Drugs for specific purposes, not provided for in groups A61P1/00-A61P41/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/435—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans
- G01N2333/46—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans from vertebrates
- G01N2333/47—Assays involving proteins of known structure or function as defined in the subgroups
- G01N2333/4701—Details
- G01N2333/4703—Regulators; Modulating activity
- G01N2333/4706—Regulators; Modulating activity stimulating, promoting or activating activity
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/04—Endocrine or metabolic disorders
- G01N2800/042—Disorders of carbohydrate metabolism, e.g. diabetes, glucose metabolism
Definitions
- Subject matter of the present invention is a method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject wherein said subject is non-diabetic, comprising the following steps:
- elevated level means a level above a certain threshold level.
- Neurotensin is a 13 -amino acid neuropeptide derived from the prepro-neurotensin precursor and stochiometrically released together with the stable 117-amino acid peptide pro-neurotensin (P- NT) and the mature hormone binds to three different receptors, neurotensin receptor 1 and 2 (Ntsrl and Ntsr2), which are G-protein coupled receptors and neurotensin receptor 3 (Ntsr3) which is non-G-protein coupled and also known as Sortillin-1 (SORT1).
- Neurotensin is released peripherally from the small intestine as well as centrally from the hypothalamus.
- the peripheral secretion of neurotensin is stimulated by food-intake, especially by fat, and is known to regulate gastrointestinal motility and pancreatic and biliary secretion.
- neurotensin is implicated in appetite control as an anorectic hormone as it acutely reduces food intake following both central (intracerebroventricular) and peripheral (intraperitoneal) injection in rats, an effect which seems mainly mediated through the neurotensin-1 receptor (Ntsrl).
- NTSR1 neurotensin receptor 1
- copeptin for prediction of diabetes has been reported by Enhorning et al, Circulation. 2010;121 :2102-2108
- a subject of the present invention was to investigate the prognostic and diagnostic power of NT for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject wherein said subject is non-diabetic.
- Subject matter of the present invention is a method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject wherein said subject is non-diabetic, comprising the following steps:
- Subject matter of the present invention is a method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject wherein said subject is non-diabetic, comprising the following steps:
- subject refers to a living human or non-human organism.
- the subject is a human subject.
- said subject is a female subject, in a specific embodiment of the invention said subject is non-IFG (non- prediabetic) subject.
- the level of pro-neurotensin or fragments thereof of at least 5 amino acids or pro-neurotensin 1-117 comprising peptides in a bodily fluid is the fasting level of pro-neurotensin or fragments thereof of at least 5 amino acid or pro-neurotensin 1-117 comprising peptides.
- Fasting level means no food uptake 12 h prior blood sampling.
- the level of pro-neurotensin 1-1 17 or fragments thereof of at least 5 amino acids or pro- neurotensin 1-117 comprising peptides in a bodily fluid obtained from said female subject that is predictive for the risk of for contracting diabetes mellitus and/or metabolic syndrome is released from the small intestine.
- neurotensin from the small intestine is stimulated by food intake, especially by fat, and is known to regulate gastrointestinal motility and pancreatic and biliary secretion.
- Pro-neurotensin 1 -117 and fragments thereof or pro-neurotensin 1-117 comprising peptides are used as a surrogate marker for the released neurotensin as neurotensin and pro-neurotensin 1 -117 and fragments thereof or pro-neurotensin 1-117 comprising peptides are released in equimolar amounts from pro-neurotensin.
- peripheral secretion of neuroten sin/pro -neurotensin 1-1 17 or fragments thereof of at least 5 amino acids or pro- neurotensin 1-117 comprising peptides is indicative for the susceptibility of a female subject to for contracting diabetes mellitus and/or metabolic syndrome.
- dietary measures as reduction of fat uptake may lower said risk in said subject.
- the correlation between the level of pro-neurotensin or fi'agments thereof of at least 5 amino acids or PNT 1 -117 comprising peptides in a bodily fluid obtained from said subject and the risk of contracting diabetes mellitus and/or metabolic syndrome is continuous, i.e. the higher the level the higher the risk.
- threshold(s) For the sake of practicability the person skilled in the art may use threshold(s).
- a bodily fluid may be selected from the group comprising blood, serum, plasma, urine, csf, and saliva.
- the present data suggest a strong correlation between the level of pro-neurotensin or fragments thereof, especially pro-neurotensin 1-117 or fragments thereof or pro-neurotensin 1-117 comprising peptides with diabetes, in particular in subjects with no prevalent diabetes.
- the present data also suggest a strong correlation between the level of pro-neurotensin or fragments thereof, especially pro-neurotensin 1-1 17 or fragments thereof or pro-neurotensin 1- 117 comprising peptides with diabetes, in hypertensive subjects, which is a common high-risk group for cardiovascular disease and/or diabetes.
- Fragments of pro-neurotensin that may be determined in a bodily fluid may be e.g. SEQ ID NO: 1 (Pro-neurotensin 1-147 ⁇
- SEQ ID NO: 2 pro-neurotensin 1-125 (large neuromedin N)
- SDSEEEMKAL EADFLTNMHT SKISKAHVPS WKMTLLNVCS LVNNLNSPAE ETGEVHEEEL VARRKLPTAL DGFSLEAMLT IYQLHKICHS RAFQHWELIQ EDILDTGNDK NGKEEVI KR KIPYIL
- KIPYIL SEQ ID NO: 4 (neurotensin) pyroQLYENKPRRP YIL
- SEQ ID NO: 6 pro-neurotensin 1-132
- SEQ ID NO: 8 (pro-neurotensin 120-140) KIPYILKRQL YENKPRRPYI L
- SEQ ID NO: 9 (pro-neurotensin 120-147) KIPYILKRQL YENKPRRPYIL KRDSYYY
- SEQ ID NO: 10 (pro-neurotensin 128-147) QLYENKPRRP YILKRDSYYY
- the level of pro- neurotensin 1-117 is determined.
- the level of pro-neurotensin, especially pro -neurotensin 1-1 17 or fragments thereof or pro-neurotensin 1-117 comprising peptides is measured with an immunoassay. More specifically an immunoassay is used as described in Ernst et al. Peptides 27 (2006) 1787-1793.
- An immunoassay that may be useful for determining the level of pro-neurotensin or fragments thereof of at least 5 amino acids or pro-neurotensin 1-1 17 comprising peptide may comprise the steps at outlines in example 2.
- the threshold for determining the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject wherein said subject is non-diabetic according to the methods of the present invention is above 78 pmol/1 PNT, preferred 100 pmol/1, more preferred 150 pmol/1. In a specific embodiment said threshold is about 100 pmol/1.
- IPG impaired fasting glucose
- HBP normotensive/high blood pressure
- HBP Systolic BP>/-140 mmHg or Diastolic BP >/-90 mmHg or being on antihypertensive medications.
- Subjects having normal blood pressure (BP) are all other subjects, i.e subjects with systolic BP ⁇ 140 mmHg or Diastolic BP ⁇ 90 mmHg or not being on antihypertensive medications.
- said subject is a non-diabetic with fasting blood glucose of less than 6.1 mmol/1 but more than 5.4 mmol/1.
- said subject is a non-diabetic subject with fasting blood glucose of equal or less than 5.4 mmol/1.
- said risk of the subject for developing diabetes mellitus type II is determined.
- the prediction of the risk of the subject for contracting diabetes mellitus and/or metabolic syndrome or the diagnosis of metabolic syndrome is improved by additionally determining and using the level of at least one laboratory parameter or further marker selected from the group comprising fasting blood or plasma glucose, triglycerides, HDL cholesterol or subtractions thereof, LDL cholesterol or subtractions thereof, cystatin C, insulin, CRP, vasopressin or its precursors or fragments thereof and BNP or its precursors or fragments thereof.
- At least one clinical parameter is determined selected from the group comprising age, gender, systolic blood pressure, diastolic blood pressure, antihypertensive treatment (AHT), body mass index, waist circumference, waist-hip-ratio, current smoker, diabetes heredity and previous cardiovascular disease (CVD).
- a further embodiment of the invention is a method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject wherein said subject is non-diabetic according to any of the preceding claims, wherein the level of pro -neurotensin or fragments thereof either alone or in conjunction with other prognostically useful laboratory or clinical parameters is used for the prediction of the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for the diagnosis of metabolic syndrome by a method which may be selected from the following alternatives:
- the sample is selected from the group comprising blood sample, a serum sample, a plasma sample, a cerebrospinal fluid sample, a saliva sample and a urine sample or an extract of any of the aforementioned samples.
- the level of pro-neurotensin or fragments thereof or pro- neurotensin 1-117 comprising peptide having at least a length of 5 amino acids is determined by a diagnostic assay, preferably by an immunoassay.
- the method is performed more than once in order to monitor the risk of getting diabetes mellitus and/or metabolic syndrome or in order to monitor the course of treatment of metabolic syndrome in a subject wherein said subject is non-diabetic.
- said monitoring is performed in order to evaluate the response of said subject to preventive and/or therapeutic measures taken.
- the method is used in order to stratify said subjects into risk groups.
- Also encompassed by the present invention is a point-of-care device for perfonning a method according to the invention.
- an assay and/or kit for performing a method according to the invention is also a binder to neurotensin or to a neurotensin receptor, for the use in prevention or therapy diabetes mellitus and/or metabolic syndrome in a subject.
- the binder reduces the bioactivity of neurotensin to 70 % or less.
- the binder to neurotensin is selected from the group consisting of antibodies e.g. IgG, a typical full-length immunoglobulin, or antibody fragments containing at least the F-variable domain of heavy and/or light chain as e.g. chemically coupled antibodies (fragment antigen binding) including but not limited to Fab-fragments including Fab minibodies, single chain Fab antibody, monovalent Fab antibody with epitope tags, e.g. Fab-V5Sx2; bivalent Fab (mini-antibody) dimerized with the CH3 domain; bivalent Fab or multivalent Fab, e.g. formed via multimerization with the aid of a heterologous domain, e.g.
- IgG a typical full-length immunoglobulin, or antibody fragments containing at least the F-variable domain of heavy and/or light chain as e.g. chemically coupled antibodies (fragment antigen binding) including but not limited to Fab-fragments including Fab minibodies, single chain Fab antibody, monovalent Fab antibody with epitope tags, e.g. Fab- V5Sx2; bivalent Fab (mini-antibody) dimerized with the CH3 domain; bivalent Fab or multivalent Fab, e.g. formed via multimerization with the aid of a heterologous domain, e.g. via dimerization of dHLX domains,e.g.
- chemically coupled antibodies fragment antigen binding
- Fab-fragments including Fab minibodies, single chain Fab antibody, monovalent Fab antibody with epitope tags, e.g. Fab- V5Sx2; bivalent Fab (mini-antibody) dimerized with the CH3 domain; bivalent Fab or multivalent Fab
- Fab-dHLX-FSx2 F(ab')2-fragments, scFv-fragments, multimerized multivalent or/and multispecific scFv-fragments, bivalent and/or bispecific diabodies, BITE® (bispecific T-cell engager), trifunctional antibodies, polyvalent antibodies, e.g. from a different class than G; single-domain antibodies, e.g. nanobodies derived from camelid or fish immunoglobulines, or a peptide antagonist e.g. [D-Trp n ]-Neurotensin, [Tyr(Me) 11 ] -Neurotensin (e.g.
- WO 2011/073214 transferring scaffolds (e.g. described in US 2004/0023334), protein A scaffolds (e.g. described in EP 2231860), ankyrin repeat based scaffolds (e.g. described in WO 2010/060748) , microproteins preferably microproteins forming a cystine knot) scaffolds (e.g. described in EP 2314308), Fyn SH3 domain based scaffolds (e.g. described in WO 2011/023685) EGFR-A-domain based scaffolds (e.g. described in WO 2005/040229) and Kunitz domain based scaffolds (e.g. described in EP 1941867).
- protein A scaffolds e.g. described in EP 2231860
- ankyrin repeat based scaffolds e.g. described in WO 2010/060748
- microproteins preferably microproteins forming a cystine knot scaffolds e.g. described in EP 2314308
- Fyn SH3 domain based scaffolds e.
- Peptides/ conjugates for Immunization Peptides for immunization were synthesized (JPT Technologies, Berlin, Germany) with an additional N-terminal Cystein residue for conjugation of the peptides to Bovine Serum Albumin (BSA). The peptides were covalently linked to BSA by using Sulfo-SMCC (Perbio-science, Bonn, Germany). The coupling procedure was performed according to the manual of Perbio.
- Figure 1 shows a typical P-NT dose/ signal curve
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Priority Applications (7)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| RU2014140427A RU2685713C2 (ru) | 2012-03-08 | 2013-03-08 | Способ прогнозирования риска развития у субъекта сахарного диабета и/или метаболического синдрома или диагностирования метаболического синдрома у субъекта |
| US14/383,422 US10520512B2 (en) | 2012-03-08 | 2013-03-08 | Method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject |
| EP13708803.5A EP2823316B1 (en) | 2012-03-08 | 2013-03-08 | A method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject |
| ES13708803.5T ES2684512T3 (es) | 2012-03-08 | 2013-03-08 | Método para predecir el riesgo de un sujeto de contraer la diabetes mellitus y/o el síndrome metabólico o para diagnosticar el síndrome metabólico en un sujeto |
| JP2014560405A JP6262669B2 (ja) | 2012-03-08 | 2013-03-08 | 対象が糖尿病及び/又はメタボリックシンドロームに罹患するリスクを予測するために、あるいは対象のメタボリックシンドローム発症の指標とするために、体液中のプロニューロテンシン1−117を検出する方法 |
| IN1937MUN2014 IN2014MN01937A (https=) | 2012-03-08 | 2013-03-08 | |
| US16/719,507 US20200326350A1 (en) | 2012-03-08 | 2019-12-18 | Method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject |
Applications Claiming Priority (6)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201261608350P | 2012-03-08 | 2012-03-08 | |
| EP12158680.4 | 2012-03-08 | ||
| EP12158680 | 2012-03-08 | ||
| US61/608,350 | 2012-03-08 | ||
| EP12165062.6 | 2012-04-20 | ||
| EP12165062 | 2012-04-20 |
Related Child Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| US14/383,422 A-371-Of-International US10520512B2 (en) | 2012-03-08 | 2013-03-08 | Method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject |
| US16/719,507 Continuation US20200326350A1 (en) | 2012-03-08 | 2019-12-18 | Method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject |
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| Publication Number | Publication Date |
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| WO2013132090A1 true WO2013132090A1 (en) | 2013-09-12 |
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| Application Number | Title | Priority Date | Filing Date |
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| PCT/EP2013/054801 Ceased WO2013132090A1 (en) | 2012-03-08 | 2013-03-08 | A method for predicting the risk of a subject for contracting diabetes mellitus and/or metabolic syndrome or for diagnosing metabolic syndrome in a subject |
Country Status (9)
| Country | Link |
|---|---|
| US (2) | US10520512B2 (https=) |
| EP (1) | EP2823316B1 (https=) |
| JP (1) | JP6262669B2 (https=) |
| CN (1) | CN103308670B (https=) |
| ES (1) | ES2684512T3 (https=) |
| IN (1) | IN2014MN01937A (https=) |
| RU (1) | RU2685713C2 (https=) |
| TR (1) | TR201811201T4 (https=) |
| WO (1) | WO2013132090A1 (https=) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3002589A1 (en) * | 2014-10-01 | 2016-04-06 | sphingotec GmbH | A method for stratifying a female subject for hormone replacement therapy |
| WO2016066862A3 (en) * | 2015-02-27 | 2016-07-21 | Sphingotec Gmbh | A method for predicting the risk of obesity in a subject |
| US10473670B2 (en) | 2016-02-25 | 2019-11-12 | University Of Kentucky Research Foundation | Method of predicting obesity comprising measuring neurotensin |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103308689B (zh) * | 2012-03-08 | 2017-04-12 | 思芬构技术有限公司 | 用于预测雌性对象中患上癌症的风险或诊断癌症的方法 |
| WO2022203533A1 (ru) * | 2021-03-25 | 2022-09-29 | Владимир Валерьевич ВОЛОБУЕВ | Способ оценки предрасположенности к различным формам сахарного диабета 2го типа |
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2012
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2013
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3002589A1 (en) * | 2014-10-01 | 2016-04-06 | sphingotec GmbH | A method for stratifying a female subject for hormone replacement therapy |
| WO2016066862A3 (en) * | 2015-02-27 | 2016-07-21 | Sphingotec Gmbh | A method for predicting the risk of obesity in a subject |
| JP2018511784A (ja) * | 2015-02-27 | 2018-04-26 | シュピーンゴテック ゲゼルシャフト ミット ベシュレンクテル ハフツング | 対象における肥満リスクの予測方法 |
| US10900978B2 (en) | 2015-02-27 | 2021-01-26 | Sphingotec Gmbh | Method for predicting the risk of obesity in a subject |
| RU2745751C2 (ru) * | 2015-02-27 | 2021-03-31 | Сфинготек Гмбх | Способ прогнозирования риска развития ожирения у субъекта |
| US11340240B2 (en) | 2015-02-27 | 2022-05-24 | Sphingotec Gmbh | Method for predicting the risk of obesity in a subject |
| US10473670B2 (en) | 2016-02-25 | 2019-11-12 | University Of Kentucky Research Foundation | Method of predicting obesity comprising measuring neurotensin |
Also Published As
| Publication number | Publication date |
|---|---|
| US20150056203A1 (en) | 2015-02-26 |
| ES2684512T3 (es) | 2018-10-03 |
| JP2015512048A (ja) | 2015-04-23 |
| EP2823316B1 (en) | 2018-05-23 |
| CN103308670A (zh) | 2013-09-18 |
| US10520512B2 (en) | 2019-12-31 |
| IN2014MN01937A (https=) | 2015-07-10 |
| EP2823316A1 (en) | 2015-01-14 |
| RU2685713C2 (ru) | 2019-04-23 |
| JP6262669B2 (ja) | 2018-01-17 |
| US20200326350A1 (en) | 2020-10-15 |
| TR201811201T4 (tr) | 2018-09-21 |
| RU2014140427A (ru) | 2016-04-27 |
| CN103308670B (zh) | 2017-06-09 |
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